This MQL5 strategy is designed to grow your account steadily without taking big risks. The balance graph above shows exactly that — a smooth and consistent increase over many trades.

The idea behind the system is simple: only take good trades, avoid bad ones, and protect your money at all times.

How the Strategy Works (With Simple Code Examples) (In Simple Words)

The full code stays private, but here is the basic logic behind the system:

  • It checks the trend using moving averages, so it only trades in the direction of the market.

  • It looks at market volatility to avoid entering during unstable or unpredictable moments.

  • It uses smart stop-loss and take-profit levels that adjust automatically to changing market conditions.

  • It applies strict risk management, keeping every trade controlled.

Here are small, safe code snippets (not the full system) to help you understand how the logic works.

1. Trend Detection Example

// Simple trend filter using two Moving Averages
double fast = iMA(Symbol(), PERIOD_CURRENT, 20, 0, MODE_EMA, PRICE_CLOSE, 0);
double slow = iMA(Symbol(), PERIOD_CURRENT, 50, 0, MODE_EMA, PRICE_CLOSE, 0);

bool isUptrend   = fast > slow;
bool isDowntrend = fast < slow;

This lets the EA decide whether to take buy or sell trades.

2. Volatility Check Example

// ATR-based volatility filter
double atr = iATR(Symbol(), PERIOD_CURRENT, 14, 0);

if(atr < 0.0008) return; // avoid low-volatility conditions

The system avoids dead market periods where trades usually fail.

3. Dynamic Stop-Loss & Take-Profit

// Stop-loss and take-profit adapt to market volatility
double SL = atr * 2.5;
double TP = atr * 4.0;

This ensures the system protects capital while letting profits run.

4. Position Sizing Example

// Simple risk-percentage based lot size
double RiskPercent = 1.0; // 1% per trade

double lot = NormalizeDouble((AccountBalance() * RiskPercent/100) / (SL * 10), 2);

This makes the strategy grow steadily without using dangerous lot sizes.

These simplified snippets show the idea behind the system. The actual EA includes more logic, filtering, and protections.

These simple rules combine to make one strong trading system.

Why It Makes Profit

This strategy avoids the common mistakes most automated systems make. Its strength comes from a few key principles:

1. Only Good Trades Are Taken

The system ignores weak signals. This means fewer trades, but better-quality ones.

2. Position Size Adjusts Automatically

It calculates lot size based on your balance and market volatility. When the market is calm and safe, it trades slightly bigger. When the market is wild, it trades smaller.

This helps the balance grow steadily.

3. Losses Stay Small

The system has built-in protections such as:

  • Volatility-based stop-losses

  • Filters to avoid choppy markets

  • Exit rules to close trades early if needed

This keeps drawdowns low and prevents big losses.

4. Works in Different Market Conditions

The smooth equity curve shows the system performs well even when the market changes. This means it is not over-optimized or dependent on a single market pattern.

What the Backtest Shows

The backtest results highlight:

  • A steady upward line with very few dips

  • Controlled risk and low drawdowns

  • Almost no sharp drops in the balance

This is the sign of a stable trading system rather than a risky or overfitted one.

Who This Strategy Is For

This MQL5 strategy is ideal for traders who want:

  • A reliable automated trading system

  • Consistent profits with moderate risk

  • A simple plug‑and‑play setup

  • A strategy that works without babysitting it

It runs smoothly on MetaTrader 5 and fits well into any automated trading setup.

Final Thoughts

This strategy focuses on simple but powerful principles: follow the trend, avoid bad market conditions, protect your capital, and let profits grow over time. The balance curve proves this approach works.

If you want a trustworthy MQL5 strategy that delivers steady results without taking unnecessary risks, get the full mql5 code at forexalgos.co

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